How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
eta-orthogonality and orthogonal complements in a Lorentz vector space
Definition
Let be a Lorentz vector space of signature (Lorentz forms of inertia (3,1,0) on a 4-dimensional real vector space). Two vectors are -orthogonal, written , when . For a subset the orthogonal complement of is
and for a vector one writes .
Elementary properties. For every subset :
- is a linear subspace of : if and , then for every bilinearity gives , so . In particular the zero vector lies in and is never empty.
- : if , then for every by the definition of , and symmetry of gives for every , that is, .
- : the inclusion gives ; conversely, if and is a finite linear combination with , then linearity in the second argument gives , so .
In particular, for every one has exactly when , that is, exactly when is null or (Timelike, null, spacelike and causal vectors of a Lorentz vector space).
A nonzero vector can be orthogonal to itself. Take a basis of in which the matrix of is diagonal with diagonal entries ; such a basis exists by clause 2 of the definition of a Lorentz form. Then is nonzero while , so with . This is exactly what fails for a positive-definite inner product and is why orthogonal complements in a Lorentz vector space need not be positive definite.